Computer Vision Engineer
at Leena AI
2 - 6 yrs
₹5L - ₹30L / yr (ESOP available)
Remote, Gurugram
Skills
Computer Vision
Machine vision
Machine Learning (ML)TensorFlow
We are looking for people who are always concerned about the innovation. We value creativity,hard work, initiative, and radical ideas. We are looking for Computer Vision Specialists, who have interests in the cutting-edge deep learning technologies to help us solve unsolved computer vision problems.
Responsibilities:
• Develop computer vision systems for enterprises to be used by hundreds of our
customers
• Enhance existing Computer vision systems to achieve high performance
• Prototype new algorithms rapidly, iterating to achieve high levels of performance
• Package these prototypes as robust models written in production level code to be
integrated into the product
• Work closely with the ML engineers to explore and enhance new product features
leading to new areas of business
Requirements:
Strong understanding of linear algebra, optimisation, probability, statistics
• Experience in the data science methodology from exploratory data analysis, feature
engineering, model selection, deployment of the model at scale and model evaluation
• Background in machine learning with experience in large scale training and
convolutional neural networks
• Deep understanding of evaluation metrics for different computer vision tasks
• Knowledge of common architectures for various computer vision tasks like object
detection, recognition, and semantic segmentation
• Experience with model quantization is a plus
• Experience with Python Web Framework (Django/Flask/FastAPI), Machine Learning
frameworks like Tensorflow/Keras/Pytorch
Responsibilities:
• Develop computer vision systems for enterprises to be used by hundreds of our
customers
• Enhance existing Computer vision systems to achieve high performance
• Prototype new algorithms rapidly, iterating to achieve high levels of performance
• Package these prototypes as robust models written in production level code to be
integrated into the product
• Work closely with the ML engineers to explore and enhance new product features
leading to new areas of business
Requirements:
Strong understanding of linear algebra, optimisation, probability, statistics
• Experience in the data science methodology from exploratory data analysis, feature
engineering, model selection, deployment of the model at scale and model evaluation
• Background in machine learning with experience in large scale training and
convolutional neural networks
• Deep understanding of evaluation metrics for different computer vision tasks
• Knowledge of common architectures for various computer vision tasks like object
detection, recognition, and semantic segmentation
• Experience with model quantization is a plus
• Experience with Python Web Framework (Django/Flask/FastAPI), Machine Learning
frameworks like Tensorflow/Keras/Pytorch
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About Leena AI
Founded :
2015
Type :
Product
Size :
20-100
Stage :
Raised funding
About
Leena AI was founded with a belief that artificial intelligence can transform the way enterprises work. Our mission is to help enterprises build employee experience that puts people first. As a team, we encourage each other to innovate and grow every day.
Leena AI employee experience platform is powerful, flexible, and meets the needs of any enterprise. Even yours. Started by IIT Delhi grads in 2015, we are a YCombinator backed Forbes 30 under 30 : Enterprise Technology who have enabled enterprises like AirAsia, Kohler Co., OnePlus, People Matters, The Coca-Cola Company, Sony, Vedanta, Vodafone. to improve the employee engagement by conversational AI.
- We have developed Leena AI - the cognitive conversational AI platform to resolve your repetitive employee queries faster & improve employee experience. We help you with dipstick surveys to know the pulse of the organization with the happiness score and actionable insights for each team.
- We are present across all channels your employees use like Workplace, Yammer, Workchat, Skype for Business, etc; no download required.
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